| Literature DB >> 24725073 |
Abstract
Pharmacology is currently transformed by the vast amounts of genome-associated information available for system-level interpretation. Here I review the potential of systems biology to facilitate this interpretation, thus paving the way for the emerging field of systems pharmacology. In particular, I will show how gene regulatory and metabolic networks can serve as a framework for interpreting high throughput data and as an interface to detailed dynamical models. In addition to the established connectivity analyses of effective networks, I suggest here to also analyze higher order architectural properties of effective networks.Keywords: biological networks; mathematical modeling; nonlinear dynamics
Mesh:
Year: 2014 PMID: 24725073 PMCID: PMC3971976 DOI: 10.1111/bcp.12266
Source DB: PubMed Journal: Br J Clin Pharmacol ISSN: 0306-5251 Impact factor: 4.335